You will get clusterized data with visualization
Project details
As a data scientist, I have developed my own Python class to facilitate the process of clustering data. The class provides a set of methods and functions to perform common clustering tasks quickly and efficiently, such as data preprocessing, feature selection, clustering algorithm selection, and evaluation of the clustering results.
The class supports a variety of clustering algorithms, including k-means, hierarchical clustering, DBSCAN, and spectral clustering. It also includes methods for determining the optimal number of clusters using elbow plots, silhouette scores, and other evaluation metrics.
The class supports a variety of clustering algorithms, including k-means, hierarchical clustering, DBSCAN, and spectral clustering. It also includes methods for determining the optimal number of clusters using elbow plots, silhouette scores, and other evaluation metrics.
Data Tool
scikit-learnWhat's included
| Service Tiers |
Starter
$10
|
Standard
0
|
Advanced
0
|
|---|---|---|---|
| Delivery Time | 1 day | 0 days | 0 days |
Number of Revisions | Unlimited | ||
Number of Graphs/Charts | 6 | ||
Number of Scenarios | 3 | ||
Number of Model Variations | 3 | ||
Model Documentation | - | - | |
Data Source Connectivity | - | - | - |
Model Validation/Testing | - | - | - |
Frequently asked questions
About Alex
Data Scientist (sklearn, tensorflow)
Odesa, Ukraine - 2:06 am local time
My skills include data analysis, preprocessing, visualization, interpretation, and clustering. I have a deep understanding of the principles of machine learning, and I can create models for classification and prediction tasks.
Steps for completing your project
After purchasing the project, send requirements so Alex can start the project.
Delivery time starts when Alex receives requirements from you.
Alex works on your project following the steps below.
Revisions may occur after the delivery date.
Client purchases the project and sends requirements.
I complete the project